Security
Designed for environments where trust is not optional.
Agentycs enforces security and governance as architectural properties — not afterthoughts. Access is controlled, execution is constrained, outputs are auditable, and data remains contained in the environments you operate.
Why AI security fails in practice
What goes wrong
- Opaque model behaviour with limited oversight
- Tool-sprawl and drag-and-drop workflows that bypass policy
- Uncontrolled data paths (uploads, prompts, connectors) with unclear locality
- Outputs that can’t be traced back to evidence
- Prompt injection / manipulation risks in agentic workflows
Why it matters
When systems can’t prove what they used, what they did, and where data went, they can’t be trusted in defence, government, or regulated enterprise. The result is blocked deployment, slow assurance, and operational risk.
Security is enforced by design
Agentycs treats security, governance, and auditability as first-class platform capabilities.
Zero-trust access control
Identity, policy enforcement, and least-privilege access are embedded into the operating model — defining who can access what, under which conditions.
Executable control
Control what can run, where it can run, and what it can touch. Prevent uncontrolled actions and keep agentic workflows within defined boundaries.
Evidence-backed auditability
Outputs remain traceable to sources, enabling defensibility, oversight, and review. You can understand what the system did and why.
Containment and locality
Data stays within the environments you control. Locality is preserved by deployment design, supporting sovereignty and reducing exposure.
Common AI risks — and how Agentycs mitigates them
Assurance posture
ISO27001 certified
Penetration testing focused on LLM and agent risks
Cyber Essentials Certified
Encryption at rest and in transit
Physical security
Physical security for high-assurance environments
Where required, Agentycs can be deployed in hardened configurations — including air-gapped operation through Agentycs-in-a-Box. This enables secure AI capability in restricted environments where connectivity and trust boundaries are non-negotiable.
- Air-gapped operation (where required)
- Controlled boot and access patterns
- Deployable hardened implementations
Security is enforced by deployment reality — not marketing claims. Agentycs is built to keep data contained, behaviour governed, and outputs defensible, so AI can be used operationally in the environments that matter.